Výsledky vyhledávání - "Machine learning regression algorithms"

Leveraging Machine Learning Regression Algorithms to Predict Mechanical Properties of Evaporitic Rocks From Their Physical Attributes

Autoři: Ayham Zaitouny Hasan Arman Anusuya Krishnan a další

Zdroj: IEEE Access, Vol 13, Pp 123097-123109 (2025)

Témata: machine learning, geotechnical engineering, nonlinear correlations, ensemble learning, Electrical engineering. Electronics. Nuclear engineering, mechanical properties, Evaporitic rocks, TK1-9971

Přístupová URL adresa: https://doaj.org/article/e31d533627dc4a3f80ff7462f4ee6a97

Modeling economic growth in pandemic times with machine learning regression algorithms

Autoři: J. Alejandro Navarro-Acosta Valeria Soto-Mendoza Laura Policardo a další

Zdroj: Revista Mexicana de Economía y Finanzas. 20:1-33

Comparative Analysis of Machine Learning Regression Algorithms for Wi-Fi Signal Strength-Based Indoor Positioning

Autoři: Yonghyun Kim

Zdroj: Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography. 42:483-490

Weather based paddy yield prediction using machine learning regression algorithms

Autoři: DHINAKARAN SAKTHIPRIYA THANGAVEL CHANDRAKUMAR

Zdroj: Journal of Agrometeorology, Vol 26, Iss 3 (2024)

Témata: Linear regression (LR), Paddy seed, Random Forest regression (RFR), Hybrid machine learning model, Support vector regression (SVR), Agriculture, Cat boost regression (CBR)

Přístupová URL adresa: https://doaj.org/article/441dc6c043324b94b6cd363046fa0dc3

Machine learning regression algorithms for predicting the susceptibility of jointed rock slopes to planar failure

Autoři: Avishek Dutta Kripamoy Sarkar Keshav Tarun

Zdroj: Earth Science Informatics. 17:2477-2493

Estimating rainfed groundnut’s leaf area index using Sentinel-2 based on Machine Learning Regression Algorithms and Empirical Models

Autoři: Michael Chibuike Ekwe Oluseun Adeluyi Jochem Verrelst a další

Zdroj: Precision Agriculture. 25:1404-1428

Modeling economic growth in pandemic times with machine learning regression algorithms

Autoři: Navarro Acosta, J. Alejandro Soto Mendoza, Valeria Policardo, Laura a další

Zdroj: Revista Mexicana de Economía y Finanzas (REMEF): nueva época, ISSN 1665-5346, Vol. 20, Nº. 1, 2025

Témata: Economic Growth, Data Driven Analysis, Machine Learning, Stringency Index, Pandemic COVID-19, Crecimiento Económico, Análisis Basado en Datos, Aprendizaje Automático, Indice de Rigurosidad, Pandemia COVID-19, text (article)

URL: https://dialnet.unirioja.es/servlet/oaiart?codigo=9896848

Man-Hour Estimation Model Development in BIM-Based Projects with Machine Learning-Regression Algorithms

Autoři: Nevşat İrem Yurttakal

Zdroj: Orclever Proceedings of Research and Development. 3:207-220

Predicting Student Grade Point Average: Comparison of Machine Learning Regression Algorithms

Autoři: Elfadil A. Mohammed Mahmoud Abou Naaj Mirna Nachouki a další

Zdroj: 2023 24th International Arab Conference on Information Technology (ACIT). :1-6

Phase Retrieval Based on Supervised Machine Learning Regression Algorithms

Autoři: Helton A. Azevedo Rafael R.L Benevides Sébastien R.M.J Rondineau

Zdroj: 2023 Workshop on Communication Networks and Power Systems (WCNPS). :1-7

Performance Evaluation of Machine Learning Regression Algorithms for Soil Nitrogen Estimation

Autoři: Anandita Dey Utpal Sarma

Zdroj: 2023 IEEE Fifth International Conference on Advances in Electronics, Computers and Communications (ICAECC). :1-5

Machine Learning Regression Algorithms for Shear Strength Prediction of SFRC-DBs: Performance Evaluation and Comparisons

Autoři: Majdi Maabreh Ghassan Almasabha

Zdroj: Arabian Journal for Science and Engineering. 49:4711-4727

Real-time prediction of multivariate ROP (rate of penetration) based on machine learning regression algorithms: Algorithm comparison, model evaluation and parameter analysis

Autoři: Wei Liu Jiasheng Fu Chunjing Tang a další

Zdroj: Energy Exploration & Exploitation, Vol 41 (2023)

Témata: TK1001-1841, Production of electric energy or power. Powerplants. Central stations, TJ807-830, 02 engineering and technology, 0204 chemical engineering, 01 natural sciences, Renewable energy sources, 0105 earth and related environmental sciences

Přístupová URL adresa: https://doaj.org/article/6091c3385eea44d0b6828e207b75b4a2

Predicting the tensile properties of heat treated and non-heat treated LPBFed AlSi10Mg alloy using machine learning regression algorithms

Autoři: Vijaykumar S. Jatti A. Saiyathibrahim Arvind Yadav a další

Zdroj: PLoS ONE, Vol 20, Iss 6 (2025)

Témata: Medicine, Science

Popis souboru: electronic resource

Relation: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12129343/?tool=EBI; https://doaj.org/toc/1932-6203

Přístupová URL adresa: https://doaj.org/article/b380d42c9695455ebcbdd236118e1480

Data Analysis and Price Prediction of Stock Market Using Machine Learning Regression Algorithms

Autoři: Abishek L. Gavin P.K. Venkatesh Prasanna C. Veena Vedha a další

Zdroj: Advances in Science and Technology. 124:409-417

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Loan Payment Date Prediction Model Using Machine Learning Regression Algorithms

Autoři: Sarthak Choudhary Chandra Shakher Tyagi Sakshi Choudhary a další

Zdroj: 2022 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI). :1-6

Témata: 03 medical and health sciences, 0302 clinical medicine

The application of machine learning regression algorithms and feature engineering in practical application

Autoři: Xiaoyu Qu Fengyuan Zhao Liqun Gao a další

Zdroj: 2022 10th International Conference on Information Systems and Computing Technology (ISCTech). :259-263

Life Expectancy Prediction through Analysis of Immunization and HDI Factors using Machine Learning Regression Algorithms

Autoři: A Lakshmanarao Srisaila A Srinivasa Ravi Kiran T a další

Zdroj: International Journal of Online and Biomedical Engineering (iJOE). 18:73-83

Témata: 3. Good health

Capacity Loss Analysis Using Machine Learning Regression Algorithms

Autoři: Atay, Sergen AYRANCI, AHMET AYTUĞ Erkmen, Burcu

Zdroj: 2022 9th International Conference on Electrical and Electronics Engineering (ICEEE). :10-13

Témata: Machine Learning, 0202 electrical engineering, electronic engineering, information engineering, 0401 agriculture, forestry, and fisheries, Power Capacitors, 04 agricultural and veterinary sciences, 02 engineering and technology, 7. Clean energy

Popis souboru: application/pdf

Přístupová URL adresa: https://avesis.yildiz.edu.tr/publication/details/06c3720c-90a3-458e-9115-2e46d623dadb/oai
https://hdl.handle.net/11413/8368
https://doi.org/10.1109/ICEEE55327.2022.9772532

A Practical Method for Red-Edge Band Reconstruction for Landsat Image by Synergizing Sentinel-2 Data with Machine Learning Regression Algorithms

Autoři: Yuan Zhang Zhekui Fan Wenjia Yan a další

Zdroj: Sensors, Vol 25, Iss 11, p 3570 (2025)

Témata: Landsat red edge, Landsat OLI, Sentinel-2 MSI, spectral consistency, red-edge reconstruction, red-edge indices, Chemical technology, TP1-1185

Popis souboru: electronic resource

Relation: https://www.mdpi.com/1424-8220/25/11/3570; https://doaj.org/toc/1424-8220

Přístupová URL adresa: https://doaj.org/article/319f76c4929842fc96376b7188cdf61f